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DCCA · 2 months ago

CAP AI Systems Engineer 3

Annapolis Junction, MD

Full-time

Onsite

Senior Level

$135K/yr - $175K/yr

5+ years exp

DCCA is a veteran-owned IT business specializing in providing innovative solutions to a variety of government agencies and commercial enterprises since 1982. The CAP AI Systems Engineer 3 role involves analyzing user requirements and developing system specifications, providing technical leadership, and guiding system development and implementation planning.

Cyber SecurityDatabaseInformation TechnologySoftwareSoftware Engineering

Comp. & Benefits

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Analyzes user’s requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications

Analyzes system requirements and leads design and development activities

Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies

Provides technical leadership for the integration of requirements, design, and technology

Incorporates new plans, designs and systems into ongoing operations

Develops technical documentation

Develops system Architecture and system design documentation

Guides system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans

Interacts with the Government regarding Systems Engineering technical considerations and for associated problems, issues or conflicts

Ultimate responsibility for the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility

Communicates with other program personnel, government overseers, and senior executives

Qualification

Cloud ArchitectureAI/ML system designSystem securityData engineeringAWSStakeholder engagementCommunicationCollaboration skills

Required

Candidate must have an active TS/SCI w/Poly

A High School Diploma or GED plus twelve (12) years of general system engineering experience

OR A Bachelor's degree in a Qualified Engineering Field or a related discipline from an accredited college or university plus seven (7) years of systems engineering experience

OR A Master's degree in a Qualified Engineering Field or a related discipline from an accredited college or university plus five (5) years of systems engineering experience

OR A PhD in a Qualified Engineering Field or a related discipline from an accredited college or university plus three (3) years of systems engineering experience

Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS)

AI/ML system design and implementation

High-level understanding of the AI lifecycle (development, training, inference, monitoring)

Experience with ML pipeline development, model deployment, and DevOps/MLOps

Experience with Amazon SafeMaker is a plus

Excellent communication and collaboration skills with a variety of stakeholder groups, ability to proactively engage with these groups to understand requirements and inform system architecture decisions

System security and networking (particularly the implementation of system security on classified systems)

Data engineering and data lifecycle management